Omar Sultan Al-Kadi

According to our database1, Omar Sultan Al-Kadi authored at least 30 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




An enhanced Harris hawk optimizer based on extreme learning machine for feature selection.
Prog. Artif. Intell., March, 2023

Learning Style Identification.
Dataset, March, 2023

A hierarchical intrusion detection system based on extreme learning machine and nature-inspired optimization.
Comput. Secur., 2023

The effect of loss function on conditional generative adversarial networks.
J. King Saud Univ. Comput. Inf. Sci., 2022

Unpaired MR-CT Brain Dataset for Unsupervised Image Translation.
Dataset, August, 2021

Unpaired MR-CT Brain Dataset for Unsupervised Image Translation.
Dataset, February, 2021

Paired-unpaired Unsupervised Attention Guided GAN with transfer learning for bidirectional brain MR-CT synthesis.
Comput. Biol. Medicine, 2021

Biomedical computing in the Arab world: unlocking the potential of a growing research community.
Commun. ACM, 2021

Spatio-Temporal Segmentation in 3-D Echocardiographic Sequences Using Fractional Brownian Motion.
IEEE Trans. Biomed. Eng., 2020

Time-aware domain-based social influence prediction.
J. Big Data, 2020

Knowledge Management Systems Requirements Specifications.
CoRR, 2020

An Approach for Time-aware Domain-based Social Influence Prediction.
CoRR, 2020

Spatio-Temporal Segmentation in 3D Echocardiographic Sequences using Fractional Brownian Motion.
CoRR, 2019

Heterogeneous tissue characterization using ultrasound: a comparison of fractal analysis backscatter models on liver tumors.
CoRR, 2019

Multiscale Nakagami parametric imaging for improved liver tumor localization.
CoRR, 2019

Stochastic Model-Based Left Ventricle Segmentation in 3D Echocardiography Using Fractional Brownian Motion.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

A Gabor Filter Texture Analysis Approach for Histopathological Brain Tumor Subtype Discrimination.
CoRR, 2017

Quantification of Ultrasonic Texture heterogeneity via Volumetric Stochastic Modeling for Tissue Characterization.
CoRR, 2016

Supervised Texture Segmentation: A Comparative Study.
CoRR, 2016

Multidimensional Texture Analysis for Improved Prediction of Ultrasound Liver Tumor Response to Chemotherapy Treatment.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Quantification of ultrasonic texture intra-heterogeneity via volumetric stochastic modeling for tissue characterization.
Medical Image Anal., 2015

Combined statistical and model based texture features for improved image classification.
CoRR, 2015

A multiresolution clinical decision support system based on fractal model design for classification of histological brain tumours.
Comput. Medical Imaging Graph., 2015

Road scene analysis for determination of road traffic density.
Frontiers Comput. Sci., 2014

Local binary patterns for stromal area removal in histology images.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

Texture measures combination for improved meningioma classification of histopathological images.
Pattern Recognit., 2010

Assessment of texture measures susceptibility to noise in conventional and contrast enhanced computed tomography lung tumour images.
Comput. Medical Imaging Graph., 2010

A fractal dimension based optimal wavelet packet analysis technique for classification of meningioma brain tumours.
Proceedings of the International Conference on Image Processing, 2009

Texture Analysis of Aggressive and Nonaggressive Lung Tumor CE CT Images.
IEEE Trans. Biomed. Eng., 2008

Susceptibility of texture measures to noise: An application to lung tumor CT images.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008